News
Tesla and Elon Musk won’t budge on what Cybertruck orderers want to hear
Yesterday, Tesla CEO Elon Musk teased the Cybertruck twice with two new images of a production candidate version of the all-electric pickup. Sightings of the Cybertruck have been plentiful through the past few months, but the real details that orderers want to hear are still being kept a mystery as the company and its CEO won’t budge on what they will be.
The Cybertruck is perhaps Tesla’s most anticipated vehicle in history. It was unveiled four years ago, and after delays and years of holdups in terms of development and production, Tesla is finally ready to begin deliveries by the end of the year.
However, the nearly two million people who have placed orders for the Cybertruck are still unsure what they will pay, what powertrain their truck will have, and when they will get it.
Tesla Cybertruck production candidate revealed by CEO Elon Musk
James Locke, a longtime Tesla owner, asked Musk yesterday when the company would release this information. “Enough with the hype, let’s get down to business,” he said, requesting any information on vehicle specs, pricing, and the delivery date event.
But Musk was unwilling to give that information, even still, as the Cybertruck nears initial deliveries.
“When we are ready to do so, we will,” he said. “While I think it is our best product ever, it is an extremely difficult product to build. We are in uncharted territory because it is not like anything else.”
Musk hammered this point home in an email to Tesla employees yesterday, which reminded production line associates, engineers, and others that their mistakes would be magnified due to the “bright metal” and “mostly straight edges” the Cybertruck design has.
“If LEGO and soda cans, which are very low cost, can do this, so can we,” Musk said.
In the four years since the Cybertruck was unveiled, a lot has changed, including the prices of vehicles. Mid-size pickups have increased from $33,262 in March 2019 to $41,176 in the same month in 2023. Full-sized trucks have swelled from $48,653 to $62,825, according to data from Kelley Blue Book.
Pricing is likely still up in the air, but Musk has hinted toward what potential Cybertruck pricing could be in the past. However, powertrains, at least for early vehicle builds, are more than likely finalized, and those who put a $100 deposit on the Cybertruck early on chose a specific configuration.
This option was eliminated a couple of years ago. Instead, Tesla simply allowed people to put money down, but there were no options for configurations.
We are getting down to the nitty-gritty with the Cybertruck, and with deliveries likely closing in within the next few months, people are still confused over what vehicle they will get and how much they will pay. If Tesla’s plan is to reveal this information at the delivery date, doesn’t that seem kind of late?
Nevertheless, the orderers of the Cybertruck are more than likely willing to give their money regardless, as they have been waiting patiently for the truck to be built and released for years.
Last night, we found out the Cybertruck Delivery Event would be held in Texas, and not Fremont, California, as batches of the pickup had been spotted at Tesla’s Northern California production facility.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
